Lead DevOps Engineer - Observability & Monitoring

Join EPAM as a Lead DevOps Engineer , where you will drive observability excellence, strengthen monitoring practices, and ensure system reliability across a complex production environment. Your expertise will directly improve operational maturity and support delivery at scale.

At EPAM, you'll work on cutting-edge technologies, solve complex challenges, and shape the future of digital innovation. With access to continuous learning, mentorship, and global projects, your expertise will drive meaningful change.

Req.#1034285690

Responsibilities

• Manage end-to-end monitoring, alerting, and observability for production applications using Dynatrace, Splunk, and Grafana, ensuring system reliability and performance
• Develop and maintain documentation outlining best practices for logging and monitoring, while conducting regular audits to ensure compliance with company policies and industry standards
• Triage, prioritize, and resolve medium-complexity incidents and service requests using JIRA, providing warm handoff notes and escalation support for tickets beyond Level 2
• Define service level objectives for each product request type and establish average completion time benchmarks to drive continuous improvement
• Present metrics and escalated ticket trends regularly to leadership, identifying opportunities to shift support processes left and reduce incident recurrence
• Participate in cross-functional initiatives related to observability standards and be available for off-hours monitoring, on-call escalations, and pager duty coverage

Requirements

• 7 or more years of experience working within DevOps or SRE teams, with a strong focus on incident and request management in high-availability production environments
• Hands-on advanced expertise in Dynatrace, Splunk, and Grafana, with the ability to configure monitoring setups and administer tooling
• Proven experience with Azure logging and monitoring solutions including Log Analytics, Azure Monitor, and Application Insights
• Solid understanding of observability principles covering monitoring, logging, and distributed tracing across scalable, fault-tolerant systems
• Strong analytical and problem-solving skills with the ability to troubleshoot complex issues under pressure and communicate findings clearly to technical and non-technical stakeholders
• Bachelor's degree in Computer Science or a related field and/or equivalent work experience, with excellent English communication skills and the ability to work both independently and collaboratively

An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.